Computing Up – Theories of theories of everything

by Computing Up

03 October 2019

A faster way to estimate AI power consumption

MIT News 19 May 2026

The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.

Introducing ARFBench: A time series question-answering benchmark based on real incidents

ML@CMU 18 May 2026

To resolve system failures, engineers must troubleshoot outages quickly.

Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

The Conversation 15 May 2026

As the capacity of AI systems increases apace, so do concerns about the privacy of user data.

Reflections from #AIES2025

Ella Scallan and Lucy Smith 14 May 2026

We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.

Deep learning-powered biochip to detect genetic markers

Nanyang Technological University, Singapore 13 May 2026

System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.

Half of AI health answers are wrong even though they sound convincing – new study

The Conversation 12 May 2026

Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.

Gradient-based planning for world models at longer horizons

BAIR blog 11 May 2026

What were the problems that motivated this project and what was the approach to address them?

It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea

The Conversation 08 May 2026

Increased offloading to new tools has raised the fear that people will become overly reliant on AI.